Use Case β’ TutorialHeader.readTime
Web Scraping & Data Collection
Automate data collection, price monitoring, and complex web scraping workflows.
Leverage OpenClaw's browser automation to collect data from any website. Learn how to handle pagination, extract dynamic content, and monitor changes over time.
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What You'll Build
- Automated multi-page scraping pipelines
- Scheduled price monitoring system with notifications
- Structured data extraction (JSON/CSV)
- Archiving workflows for news and research
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Basic Data Extraction
Start with a simple natural language request for a single page:
Chat Prompt
"Go to https://example.com/product and extract: - Product name - Current price - Stock status Save this data to products.json"
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Price Monitoring
Automate price checks and get notified of drops:
openclaw.json
{
"cron": {
"enabled": true,
"jobs": [
{
"name": "Price Monitor",
"cron": "0 9 * * *",
"message": "Visit [Product URL], extract price, and notify me if it drops below $500. Log history to prices.csv"
}
]
}
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Handling Pagination
Scrape entire catalogs by teaching OpenClaw to navigate:
"Visit the first page of [Store URL]. Extract all product links, then click 'Next' and repeat for all pages. Finally, visit each link and pull the specs."
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Data Storage & Processing
Tell OpenClaw exactly how you want your data saved:
- JSON: Perfect for web apps and further automation.
- CSV: Ready for import into Excel or Google Sheets.
- Markdown: Ideal for research notes or Obsidian.
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Best Practices
Scraping Ethics
Always respect
robots.txt, use reasonable delay intervals to avoid overloading servers, and comply with the target site's terms of service.